Using genetic algorithms and decision tree induction to classify software failures.

Alison L. Watkins; Ellen M. Hufnagel; D. Berndt; L. Johnson

Using genetic algorithms and decision tree induction to classify software failures.

Alison L. Watkins
, Ellen M. Hufnagel
, D. Berndt
, L. Johnson

University of South Florida

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Default journal
State	Published - Jan 1 2006

Disciplines

Business

Cite this

@article{e969db924445458582a694d856e9b9be,

title = "Using genetic algorithms and decision tree induction to classify software failures.",

author = "Watkins, \{Alison L.\} and Hufnagel, \{Ellen M.\} and D. Berndt and L. Johnson",

note = "Watkins, A., Hufnagel, E.M., Berndt, D. \& Johnson, L. (2006). Using genetic algorithms and decision tree induction to classify software failures. International Journal of Software Engineering \& Knowledge Engineering, 16, 269-291.",

year = "2006",

month = jan,

day = "1",

language = "American English",

journal = "Default journal",

}

TY - JOUR

T1 - Using genetic algorithms and decision tree induction to classify software failures.

AU - Watkins, Alison L.

AU - Hufnagel, Ellen M.

AU - Berndt, D.

AU - Johnson, L.

N1 - Watkins, A., Hufnagel, E.M., Berndt, D. & Johnson, L. (2006). Using genetic algorithms and decision tree induction to classify software failures. International Journal of Software Engineering & Knowledge Engineering, 16, 269-291.

PY - 2006/1/1

Y1 - 2006/1/1

UR - https://digitalcommons.usf.edu/fac_publications/2630

M3 - Article

JO - Default journal

JF - Default journal

ER -

Using genetic algorithms and decision tree induction to classify software failures.

Disciplines

Other files and links

Cite this